Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOASSON HAGEN Edvald | 75 |
| 2 | GONZALO Eduardo | 66 |
| 3 | KIENDYŚ Tomasz | 78 |
| 4 | VANTOMME Maxime | 63 |
| 5 | KVASINA Matija | 72 |
| 11 | MARIN Matej | 67 |
| 12 | REIHS Michael | 75 |
| 13 | RASCH Gabriel | 72 |
| 15 | LAURENT Christophe | 72 |
| 20 | CUSIN Rémi | 65 |
| 21 | SALMON Benoît | 60 |
| 22 | CALVENTE Manuel | 55 |
| 31 | HELMINEN Matti | 74 |
| 36 | ROELS Dominik | 75 |